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Record W4397040146 · doi:10.1681/asn.20233411s1588d

Characteristics of Kidney Resident IgA Antibody-Secreting Cells in IgA Nephropathy

2023· article· en· W4397040146 on OpenAlexaff
Yuko Makita, Kei Haniuda, Julia Murphy, Martin L. Mak, Yusuke Suzuki, Sarah Q. Crome, Jennifer L. Gommerman, Heather N. Reich

Bibliographic record

VenueJournal of the American Society of Nephrology · 2023
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsNephropathyAntibodyImmunoglobulin AKidneyMedicineSecretory IgAImmunologyBiologyInternal medicineImmunoglobulin GEndocrinology

Abstract

fetched live from OpenAlex

Background: The trigger and sources of pathogenic IgA in IgAN are not established. Prevailing theories suggest that circulating polymeric nephritogenic IgA is produced by either antibody secreting cells located within the mucosa-associated lymphoid tissue or the bone marrow. Our recent work demonstrated that in experimental IgAN mice (BAFF-Tg), mucosal pathobiont-directed IgA antibody secreting cells (APC) are identified within the kidney. In the current study we aimed to characterize kidney IgA APC in experimental IgAN, and to elucidate the factors that foster migration to and residence within the kidney and explore cell-cell interactions within the kidney niche. Methods: Flow cytometry was used to identify IgA APC in the kidneys of the male BAFF-Tg and C57/BL6 (WT). Single-cell mRNA sequencing (scRNA-seq) was performed in 4 BAFF-Tg and 4 WT at 20 weeks of age to characterize immune cells within the kidney. Results: We identified an age-dependent increase in IgA-producing plasma cells (PC) by flow cytometry (CD45+, B220-, CD98+, IRF4+, IgA+) within the kidneys of BAFF-Tg but not WT mice; these PC were detectable at 6 weeks of age, and numbers continued to rise by 20 weeks of age. scRNA-seq confirmed a population of IgA APC in the BAFF-Tg kidneys. Analysis of differential gene expression supported phenotypically different subpopulations of IgA APC in kidneys of BAFF-Tg. Ligand-receptor pair analysis suggests cell-cell interaction patterns between IgA APC, macrophages and endothelial cells that may support migration of IgA APC and proliferation of these cells within the kidney. Conclusions: Our mouse data support the concept that pathogenic IgA production in experimental IgAN can occur within the kidney. We have confirmed the age-dependent presence of IgA-producing PC within the kidneys of the BAFF-Tg by flow cytometry and these cells may be initially proliferating within the kidney. We have further characterized the immune cell populations within the kidney in experimental IgAN using scRNA-seq, and identified possible cell-cell interactions that may foster the migration and support of mucosal derived IgA APC within the kidney, potentially resulting in kidney pathology. Elucidation of the ligands and receptors involved in kidney IgA APC migration and residence will inform therapeutic interventions for the treatment of IgAN.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.290
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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